submission_id: mistralai-mistral-small_5341_v92
developer_uid: chai_backend_admin
best_of: 4
celo_rating: 1221.28
display_name: tempv1-0
family_friendly_score: 0.579
family_friendly_standard_error: 0.006982248921371967
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A6000': 1}
is_internal_developer: True
language_model: mistralai/Mistral-Small-Instruct-2409
latencies: [{'batch_size': 1, 'throughput': 0.38459099604713354, 'latency_mean': 2.600087170600891, 'latency_p50': 2.6184922456741333, 'latency_p90': 2.849732208251953}, {'batch_size': 3, 'throughput': 0.8246404185947294, 'latency_mean': 3.6202841174602507, 'latency_p50': 3.6379101276397705, 'latency_p90': 3.984607434272766}, {'batch_size': 5, 'throughput': 1.092829493777333, 'latency_mean': 4.552590448856353, 'latency_p50': 4.566572785377502, 'latency_p90': 5.091378688812256}, {'batch_size': 6, 'throughput': 1.1754203366569564, 'latency_mean': 5.084155856370926, 'latency_p50': 5.114285111427307, 'latency_p90': 5.72029721736908}, {'batch_size': 10, 'throughput': 1.4057954651262816, 'latency_mean': 7.060455992221832, 'latency_p50': 7.101232886314392, 'latency_p90': 7.996462941169739}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: mistralai/Mistral-Small-
model_name: tempv1-0
model_num_parameters: 22247282688.0
model_repo: mistralai/Mistral-Small-Instruct-2409
model_size: 22B
num_battles: 9336
num_wins: 4248
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 0.86
timestamp: 2024-11-20T14:50:24+00:00
us_pacific_date: 2024-11-20
win_ratio: 0.455012853470437
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-small-5341-v92-mkmlizer
Waiting for job on mistralai-mistral-small-5341-v92-mkmlizer to finish
mistralai-mistral-small-5341-v92-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-small-5341-v92-mkmlizer: ║ _____ __ __ ║
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mistralai-mistral-small-5341-v92-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-small-5341-v92-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-small-5341-v92-mkmlizer: ║ /___/ ║
mistralai-mistral-small-5341-v92-mkmlizer: ║ ║
mistralai-mistral-small-5341-v92-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-small-5341-v92-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-small-5341-v92-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-small-5341-v92-mkmlizer: ║ ║
mistralai-mistral-small-5341-v92-mkmlizer: ║ The license key for the current software has been verified as ║
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mistralai-mistral-small-5341-v92-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-small-5341-v92-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-small-5341-v92-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
mistralai-mistral-small-5341-v92-mkmlizer: ║ ║
mistralai-mistral-small-5341-v92-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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mistralai-mistral-small-5341-v92-mkmlizer: Downloaded to shared memory in 89.980s
mistralai-mistral-small-5341-v92-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsi3fs4p6, device:0
mistralai-mistral-small-5341-v92-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mistral-small-5341-v92-mkmlizer: quantized model in 42.684s
mistralai-mistral-small-5341-v92-mkmlizer: Processed model mistralai/Mistral-Small-Instruct-2409 in 132.664s
mistralai-mistral-small-5341-v92-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-small-5341-v92-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-small-5341-v92-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-small-5341-v92
mistralai-mistral-small-5341-v92-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-small-5341-v92/config.json
mistralai-mistral-small-5341-v92-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-small-5341-v92/special_tokens_map.json
mistralai-mistral-small-5341-v92-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-small-5341-v92/tokenizer_config.json
mistralai-mistral-small-5341-v92-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mistral-small-5341-v92/tokenizer.model
mistralai-mistral-small-5341-v92-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-small-5341-v92/tokenizer.json
mistralai-mistral-small-5341-v92-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mistral-small-5341-v92/flywheel_model.1.safetensors
mistralai-mistral-small-5341-v92-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-small-5341-v92/flywheel_model.0.safetensors
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Job mistralai-mistral-small-5341-v92-mkmlizer completed after 166.2s with status: succeeded
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Inference service mistralai-mistral-small-5341-v92 ready after 221.5994017124176s
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Received healthy response to inference request in 2.410412073135376s
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5th percentile: 1.2122540473937988
10th percentile: 1.263559341430664
20th percentile: 1.3661699295043945
30th percentile: 1.4535748958587646
40th percentile: 1.5257742404937744
50th percentile: 1.5979735851287842
60th percentile: 1.693207311630249
70th percentile: 1.7884410381317137
80th percentile: 1.9509287357330323
90th percentile: 2.180670404434204
95th percentile: 2.2955412387847898
99th percentile: 2.3874379062652586
mean time: 1.68457350730896
Pipeline stage StressChecker completed in 10.04s
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